hadoop zipfile

Hadoop Zipfile

1. Introduction

Hadoop is a popular open-source framework for processing and analyzing large datasets. It provides a distributed file system (HDFS) and a distributed processing framework (MapReduce) that allows users to store and process data across a cluster of computers. In this article, we will explore the concept and usage of Hadoop Zipfile, along with code examples.

2. What is Hadoop Zipfile?

Hadoop Zipfile is a utility that allows users to compress and decompress files using the Hadoop framework. It leverages the parallel processing capabilities of Hadoop to perform these operations efficiently, especially on large datasets. By utilizing Hadoop Zipfile, users can save storage space, reduce file transfer time, and improve overall data processing efficiency.

3. How to use Hadoop Zipfile?

To use Hadoop Zipfile, we need to have Hadoop installed and configured on our system. Once we have Hadoop set up, we can use the following code examples to compress and decompress files.

Compressing Files

To compress files, we can use the ZipFileOutputFormat class provided by Hadoop. The following code snippet demonstrates how to compress a file named input.txt into a zip file named output.zip.

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.output.ZipFileOutputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;

public class ZipfileCompression {
    public static void main(String[] args) throws Exception {
        Configuration conf = new Configuration();
        FileSystem fs = FileSystem.get(conf);

        Job job = Job.getInstance(conf);
        job.setInputFormatClass(TextInputFormat.class);
        TextInputFormat.addInputPath(job, new Path("input.txt"));

        job.setOutputFormatClass(ZipFileOutputFormat.class);
        ZipFileOutputFormat.setOutputPath(job, new Path("output.zip"));

        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(Text.class);

        job.waitForCompletion(true);
    }
}

Decompressing Files

To decompress files, we can use the ZipFileInputFormat class provided by Hadoop. The following code snippet demonstrates how to decompress a zip file named input.zip into individual files.

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.ZipFileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;

public class ZipfileDecompression {
    public static void main(String[] args) throws Exception {
        Configuration conf = new Configuration();
        FileSystem fs = FileSystem.get(conf);

        Job job = Job.getInstance(conf);
        job.setInputFormatClass(ZipFileInputFormat.class);
        ZipFileInputFormat.setInputPaths(job, new Path("input.zip"));

        job.setOutputFormatClass(TextOutputFormat.class);
        TextOutputFormat.setOutputPath(job, new Path("output"));

        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(Text.class);

        job.waitForCompletion(true);
    }
}

4. Class Diagram

Here is the class diagram representing the main classes and their relationships involved in Hadoop Zipfile.

classDiagram
    class HadoopZipfile {
        +main(args: String[]): void
    }
    class ZipfileCompression {
        +main(args: String[]): void
    }
    class ZipfileDecompression {
        +main(args: String[]): void
    }
    HadoopZipfile --|> ZipfileCompression
    HadoopZipfile --|> ZipfileDecompression

5. Sequence Diagram

Here is the sequence diagram illustrating the flow of execution for compressing and decompressing files using Hadoop Zipfile.

sequenceDiagram
    participant Client
    participant JobTracker
    participant TaskTracker
    participant NameNode
    participant DataNode
    participant ZipFileOutputFormat
    participant ZipFileInputFormat
    participant TextInputFormat
    participant TextOutputFormat
    
    Client ->> JobTracker: Submit Job
    JobTracker ->> TaskTracker: Assign Task
    TaskTracker ->> NameNode: Get Input Split
    NameNode -->> TaskTracker: Input Split
    TaskTracker ->> DataNode: Fetch Data
    DataNode -->> TaskTracker: Data
    TaskTracker ->> ZipFileOutputFormat: Compress Data
    ZipFileOutputFormat ->> TextInputFormat: Read Input
    TextInputFormat -->> ZipFileOutputFormat: Records
    ZipFileOutputFormat -->> TaskTracker: Compressed Output
    TaskTracker ->> JobTracker: Report Status
    JobTracker -->> Client: Job Status

    Client ->> JobTracker: Submit Job
    JobTracker ->> TaskTracker: Assign Task
    TaskTracker ->> NameNode: Get Input Split
    NameNode -->> TaskTracker: Input Split
    TaskTracker ->> DataNode: Fetch Data
    DataNode -->> TaskTracker: Data
    TaskTracker ->> ZipFileInputFormat: Decompress Data